In the article \u201cMaking Meaning Count\u201d Sinclair and Rockwell explore the differences in word choice for description of black NFL prospects and white NFL prospects. They address that although written words are not the most flashy way to communicate, it still is the most common way, \u201cIn \u00a0this simple sense, text is already a type of visualization,\u201d and therefore analyzing the text is worthwhile. I think creating the interactive was an interesting way to analyze the word choices and can really demonstrate the differences. They then go on to talk about the logistics of text analysis and talk about how text analysis can synthesize data and how we can then put it into a visual platform such as a wordle. I think that text analysis seems like something that definitely needs to be further developed but could be a huge tool in data analysis. I think that it could be used as a tool to analyze extremely long texts but I also think it can make mistakes and that’s why humans also need to analyze the data to ensure that things are not being missed.<\/span><\/p>\n

One of my classmates wrote \u201cI think you can be especially creative when the data is in the form of text.\u201d I would agree with this statement it is in such a simple form there are so many different ways that you can go with it and so many different angles you can take when analyzing it. <\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

In the article “Making Meaning Count” Sinclair and Rockwell explore the differences in word choice for description of black NFL prospects and white NFL prospects. They address that although written words are not the most flashy way to communicate, it still is the most common way, “In  this simple sense, text is already a type … <\/p>\n

Continue reading “Words Count…”<\/span><\/a><\/p>\n","protected":false},"author":205,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-491","post","type-post","status-publish","format-standard","hentry","category-class"],"_links":{"self":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts\/491","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/users\/205"}],"replies":[{"embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/comments?post=491"}],"version-history":[{"count":3,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts\/491\/revisions"}],"predecessor-version":[{"id":1328,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts\/491\/revisions\/1328"}],"wp:attachment":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/media?parent=491"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/categories?post=491"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/tags?post=491"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}